Dynamic Spatial Task Generation for Collaborative Location-based Collecting Systems Coverage Objectives
DOI:
https://doi.org/10.24215/15146774e018Keywords:
Collaborative Location-based Collecting Systems, Meshing, decision-making, spatial crowdsourcingAbstract
Collaborative location-based collecting systems (CLCS) are a particular case of collaborative systems where a community of users collaboratively collect geo-referenced data. Each CLCS sets its territory coverage objectives, commonly defined as to guarantee that all the af-fected territory is surveyed with a particular coverage criterium. This paper presents a three-step pipeline to recommend the subareas that re-quire observations dynamically. The first step generates a disjoint and adjacent set of areas -a mesh- covering the sampling territory. The sec-ond step sets a priority and coverage objective for each area. Finally, the third step considers the project’s objectives and the area coverage situation to recommend the areas that need surveys. The output of this last step is an input for a user-task distribution process where the user’s profile is taken into account. Moreover, an example of meshing strategy and task generation is proposed.
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Copyright (c) 2023 María Dalponte Ayastuy, Diego Torres, Bruno J. Lattanzio
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